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About Us
Dolat Capital is a multi-strategy quantitative trading firm specializing in high-frequency and fully automated trading systems across global markets. We build proprietary algorithms using advanced mathematical, statistical, and computational techniques.
We are looking for an Experienced Quantitative Researcher to develop, test, and optimize quantitative trading strategies—primarily for APAC markets. The ideal candidate brings strong mathematical thinking, hands-on trading experience, and a track record of building profitable models.
Key Responsibilities
- Research, design & develop quantitative trading strategies
- Analyse large datasets and build predictive models / regression models
- Implement models in Python / C++ / Matlab
- Monitor, execute, and improve existing trading strategies
- Collaborate closely with traders, developers, and researchers
- Optimize trading systems, reduce latency, and enhance execution
- Identify new trading opportunities across listed products
- Oversee and manage risk for options, equities, futures, and other instruments
Required Skills & Experience
- Minimum 3+ years experience on a high-volume equities, futures, options, or market-making desk
- Strong background in Statistics, Mathematics, Physics, or related field (PhD)
- Proven track record of profitable real-world trading strategies
- Strong programming experience: C++, Python, R, Matlab
- Experience with automated trading systems and exchange protocols
- Ability to work in a fast-paced, high-pressure trading environment
- Excellent analytical skills, precision, and attention to detail
Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
· 3+ yrs of experience in product development (Preferring SaaS based)
· Must have experience in Java web-based application development
· Hands on development experience on Java/J2EE, Springboot, Spring, Struts, Hibernate, REST Services
· Experience on HTML, JavaScript, JQuery
· Hands on experience on database-writing queries/procedures
· Experience on SVN,GIT,
· Knowledge of Server configuration
· Knowledge of cloud preferably AWS
- 2+ yrs of experience into MEAN stack Development
- Hands on Experience into MEAN, Node.js, Angular 6+ Versions, HTML5, CSS, Jquery,
- Building Single Page Applications (SPAs) with Angular JavaScript coding
- Designing and developing user interfaces using angularJS best practices.
- Adapting interface for modern internet applications using the latest front-end technologies.
- Writing JavaScript, CSS, and HTML.
- Developing product analysis tasks.
- Making complex technical and design decisions for AngularJS projects.
- Developing application codes and unit tests in AngularJS, Java Technologies, and Rest Web Services.
- Conducting performance tests.
- Consulting with the design team.
- Ensuring high performance of applications and providing support.
- Bachelor’s degree in computer science, computer engineering or similar Roles and Responsibilities
- Present design specifications
- Build, deploy and maintain websites
- Troubleshoot website problems
- Monitor website traffic
- Desired Candidate Proficiency
Evervent is looking for MERN stack developer who is an expert in MongoDB, Express, React and Node. He/She should be proficient in JavaScript and use HTML, CSS and JavaScript to handle front-end operations and JavaScript with Node. js to handle back-end operations.
Roles and Responsibilities:-
- Ability to translate Wireframes into functional web apps.
- Binding of UI elements to JavaScript object models
- Creating RESTful services with Node.js
- MERN stack developer must have proven experience in front & back-end development
- Work in a cross-functional team to deliver a complete user experience
- ReactJS NodeJS developer must know MongoDB, Express, Node.js, & React.
- Create Unit and Integration tests to ensure the quality of code
- Be responsive to change requests and feature requests
- Write code that is cross-platform and cross-device compatible
- MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
- For MERN stack developer job, candidate must have good Knowledge of Node Debugging
- Understanding & proficiency in REST APIs.
- MERN stack developers should know Git Repository and Jira.
- Integration of data storage solutions [RDBMS, NoSQL DB]
Desired Candidate Profile:-
- Excellent in basic programming in any web technology Server and Client
- Like ReactJS/Node JS/ VueJS and Server-side scripts
- Basic knowledge in APIs, Micro Services
- Hands-On experience in Web development frameworks
- Hands-On in Database queries and concepts
- Understanding of performance testing and optimization techniques
Perks and Benefits:-
- No salary bar for deserving candidates.
- 5 days working.
- Paid and leave encashment facility available.
- Knowledge of Handling goods documentation as per GST law
- Invoice, GST, Ewaybill, HSN code
- Have Average communication skills - English (Vocal and Written)
- Basic computer skills in windows office especially word and excel
- Responsible attitude towards work ethics
- A quick learner, flexible and adaptable
- Able to work in rotational shifts, i.eespecially night shifts,

- Review requirements, specifications, and technical design documents, and provide meaningful feedback
- Create detailed, comprehensive, and well-structured test plans and test cases
- Set up test environments
- Perform software testing to see if the software meets all the requirements
- Identify, document, and track issues found using appropriate tools
- Perform regression testing
- Help troubleshoot issues reported by customers
- Stay up to date with the latest testing tools and methodologies
Qualifications
- 1-3 Years work experience in QA
- Hands-on experience QA-ing web applications
- Familiarity with browser DevTools and ADB
- Familiarity with API testing tools like Postman, JMeter, etc
- Experience with Agile frameworks and QA methodologies
- Experience using bug tracking tools like JIRA, Bugzilla, etc
Nice to have
- Experience working with LMSs
- Knowledge of basic SQL queries
- Experience using automated testing tools
- Familiarity with programming languages like Python or Ruby
- Sense of humor
Skills required:
- knowledge of Linux administration and Bash,
- great overall coding experience, knowledge of algorithms, etc,
- experience with Git,
- experience with Docker.
Typical tasks would consist of writing scripts for:
- server automation,
- container deployment,
- user data migration,
- backup management.












